Senior Data Scientist - Machine Learning

Zorba Consulting; Surat; On-site; INR 7,00,000 - 10,00,000; Full time

Job summary

A leading consulting firm located in Gujarat, India, is seeking a data scientist to develop machine learning models and conduct data analysis to address various business challenges. Candidates should hold a degree in a quantitative field and possess strong skills in Python, R, and relevant machine learning libraries. The role emphasizes collaboration with teams and effective communication of results.

Qualifications

• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of statistical modeling techniques such as regression, classification, and clustering.
• Deep understanding of BFSI industry processes.

Responsibilities

• Develop machine learning models and statistical analyses for business challenges.
• Extract, clean, transform, and load data from various sources.
• Evaluate model performance and deploy into production.
• Communicate findings and collaborate with cross-functional teams.
• Create data visualizations to convey insights.

Skills

Python

R

Machine learning libraries

Data visualization tools (Tableau, Power BI)

SQL

NoSQL databases

Cloud computing (AWS, Azure, GCP)

Education

Bachelor's or Master's degree in a quantitative field

Job description

Responsibilities

• Data Analysis and Modeling : Develop and implement machine learning models and statistical analyses to address business challenges in areas such as fraud detection, risk management, customer segmentation, credit scoring, and marketing optimization.
• Data Extraction and Preparation : Extract, clean, transform, and load (ETL) data from various sources, including databases, data warehouses, and external APIs. Ensure data quality and consistency.
• Model Evaluation and Deployment : Evaluate model performance using appropriate metrics and deploy models into production environments. Monitor model performance and retrain as needed.
• Communication and Collaboration : Communicate findings and recommendations to stakeholders in a clear and concise manner. Collaborate with cross‑functional teams, including business analysts, engineers, and product managers.
• Research and Innovation : Stay up‑to‑date with the latest advancements in data science and machine learning, and explore new techniques and tools to improve model performance and efficiency.
• Problem Solving : Identify and define business problems, and develop data‑driven solutions to address them.
• Data Visualization : Create compelling data visualizations to communicate insights and recommendations to stakeholders.
• Documentation : Maintain thorough documentation of data analysis, modeling, and deployment processes.
• Regulatory Compliance : Ensure compliance with relevant regulations and industry standards, such as GDPR and CCPA.

Qualifications

• Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.

Technical Skills

• Proficiency in Python and R programming languages.
• Experience with machine learning libraries such as scikit‑learn, TensorFlow, and PyTorch.
• Strong understanding of statistical modeling techniques such as regression, classification, and clustering.
• Experience with data visualization tools such as Tableau or Power BI.
• Experience with SQL and NoSQL databases.
• Experience with cloud computing platforms such as AWS, Azure, or GCP is a plus.

Domain Knowledge

• Deep understanding of the BFSI industry, including key business processes and challenges.
• Experience with fraud detection, risk management, customer segmentation, credit scoring, or marketing optimization is highly desirable.

Soft Skills

• Excellent communication and presentation skills.
• Strong problem‑solving and analytical skills.
• Ability to work independently and as part of a team.
• Ability to manage multiple projects simultaneously.